Instructions to use dl1wjd2/Logistics_AX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dl1wjd2/Logistics_AX with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("dl1wjd2/Logistics_AX", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download hug/lib/python3.12/site-packages/cv2/parallel/__init__.pyi from dl1wjd2/Logistics_AX: direct link, hf CLI and curl.
- Browser
- Download file 129 Bytes
-
https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/cv2/parallel/__init__.pyi
- Command line
-
hf download hf://dl1wjd2/Logistics_AX/hug/lib/python3.12/site-packages/cv2/parallel/__init__.pyi
-
curl -L -o __init__.pyi https://huggingface.co/dl1wjd2/Logistics_AX/resolve/main/hug/lib/python3.12/site-packages/cv2/parallel/__init__.pyi
129 Bytes
| __all__: list[str] = [] | |
| # Functions | |
| def setParallelForBackend(backendName: str, propagateNumThreads: bool = ...) -> bool: ... | |